學習新遊戲的過程與過往遊戲經驗的關係─以眼動資料分析

Abstract

過往的經驗對於學習的影響非常龐大，人在思考時經常會透過以前的經驗與結果做為決策要點。遊戲中的學習亦會被過往的遊戲經驗所影響，玩家遊戲經驗的不同、深淺都會影響到該玩家對於遊戲中某個現象或是某個物件的看法，進而影響到他的學習歷程與行為。 本研究以自製的遊戲做為實驗平台，探討不同遊戲經驗的玩家學習新遊戲時學習歷程與行為的差異。本研究使用玩家學習歷程的眼動資料進行基本資料分析與分類，並以觀察與訪談結果輔助，來了解過往遊戲經驗對於學習歷程的影響程度。本研究發現不同遊戲經驗的玩家在資料呈現上有明顯的差異，而由過往遊戲經驗所衍生的「預期」即是產生這些差異的原因。本研究亦透過實驗結果，提出不同遊戲經驗的玩家在學習新遊戲的學習模式。

Past experiences have deep impacts on learning. When we think over something, we usually do it base on past experiences. Gaming experiences may also influence how a player learning to play. Player’s gaming experiences will affect the player’s view for a phenomenon or an object, and it will affect player’s learning process and behavior.

In this thesis, I design three games as experimental platforms to find out how gaming experiences affect the learning processes and behavior in game. The players’ eye movement data when learning new games were collected, along with observations and interviews, are used to analyze the learning process. To be more specific, we study how players with different kind of gaming experiences behave accordingly in learning. Results show that players with different gaming experiences are distinct in several aspects of learning new games, and the differences in expectation about games are the major causes. In the light of experimental results, we propose learning models for people with different gaming experiences.